Raubenheimer D, Simpson SJ. Nutritional ecology and human health. Ann Rev Nutr. 2016;36:603–26.
Article
CAS
Google Scholar
Hoffmann I. Transcending reductionism in nutrition research. Am J Clin Nutr. 2003;78(3):514S–6S.
Article
CAS
PubMed
Google Scholar
Samieri C, Sun Q, Townsend MK, Chiuve SE, Okereke OI, Willett WC, et al. The association between dietary patterns at midlife and health in aging. Ann Intern Med. 2013;159(9):584–91.
Article
PubMed
PubMed Central
Google Scholar
Solon-Biet SM, McMahon AC, Ballard JWO, Ruohonen K, Wu L, Cogger VC, et al. The ratio of macronutrients, not caloric intake, dictates cardiometabolic health, aging, and longevity in ad libitum-fed mice. Cell Metab. 2014;19(3):418–30.
Article
CAS
PubMed
PubMed Central
Google Scholar
Fischer K, Colombani PC, Langhans W, Wenk C. Cognitive performance and its relationship with postprandial metabolic changes after ingestion of different macronutrients in the morning. Brit J Nutr. 2001;85(3):393–405.
Article
CAS
PubMed
Google Scholar
Simpson SJ, Le Couteur DG, Raubenheimer D. Putting the balance back in diet. Cell. 2015;161(1):18–23.
Article
CAS
PubMed
Google Scholar
Cappola AR, Maggio M, Ferrucci L. Is research on hormones and aging finished? No! Just started! J Gerontol A Biol Sci Med Sci. 2008;63(7):696–7.
Article
PubMed
Google Scholar
Fulop T, Larbi A, Dupuis G, Le Page A, Frost EH, Cohen AA, et al. Immunosenescence and inflamm-aging as two sides of the same coin: Friends or foes? Front Immunol. 2018;8:1960.
Article
PubMed
PubMed Central
CAS
Google Scholar
Fried LP, Xue Q-L, Cappola AR, Ferrucci L, Chaves P, Varadhan R, et al. Nonlinear multisystem physiological dysregulation associated with frailty in older women: Implications for etiology and treatment. J Gerontol A Biol Sci Med Sci. 2009;64(10):1049–57.
Article
PubMed
Google Scholar
Li Q, Wang S, Milot E, Bergeron P, Ferrucci L, Fried LP, et al. Homeostatic dysregulation proceeds in parallel in multiple physiological systems. Aging Cell. 2015;14(6):1103–12.
Article
CAS
PubMed
PubMed Central
Google Scholar
Cohen AA. Complex systems dynamics in aging: New evidence, continuing questions. Biogerontology. 2016;17(1):205–20.
Article
CAS
PubMed
Google Scholar
Cohen AA, Legault V, Fuellen G, Fülöp T, Fried LP, Ferrucci L. The risks of biomarker-based epidemiology: Associations of circulating calcium levels with age, mortality, and frailty vary substantially across populations. Exp Gerontol. 2018;107:11–7.
Article
CAS
PubMed
Google Scholar
Gurven M, Kaplan H, Winking J, Eid Rodriguez D, Vasunilashorn S, Kim JK, et al. Inflammation and infection do not promote arterial aging and cardiovascular disease risk factors among lean horticulturalists. PLoS One. 2009;4(8):e6590.
Article
PubMed
PubMed Central
CAS
Google Scholar
Raubenheimer D, Simpson SJ, Le Couteur DG, Solon-Biet SM, Coogan SCP. Nutritional ecology and the evolution of aging. Exp Gerontol. 2016;86:50–61.
Article
PubMed
Google Scholar
Piper Matthew DW, Partridge L, Raubenheimer D, Simpson SJ. Dietary restriction and aging: A unifying perspective. Cell Metab. 2011;14(2):154–60.
Article
CAS
PubMed
PubMed Central
Google Scholar
Simpson SJ, Raubenheimer D. The nature of nutrition: A unifying framework from animal adaptations to human obesity. Oxford: Princeton University Press; 2012.
Book
Google Scholar
Raubenheimer D, Simpson SJ. The geometry of compensatory feeding in the locust. Anim Behav. 1993;45(5):953–64.
Article
Google Scholar
Solon-Biet SM, Walters KA, Simanainen U, McMahon AC, Ruohonen K, Ballard JWO, et al. Macronutrient balance, reproductive function and lifespan in aging mice. Proc Natl Acad Sci U S A. 2015;112:3481–6.
Article
CAS
PubMed
PubMed Central
Google Scholar
Lee KP, Simpson SJ, Clissold FJ, Brooks R, Ballard JWO, Taylor PW, et al. Lifespan and reproduction in drosophila: New insights from nutritional geometry. Proc Natl Acad Sci U S A. 2008;105(7):2498–503.
Article
CAS
PubMed
PubMed Central
Google Scholar
Le Couteur DG, Solon-Biet S, Cogger VC, Mitchell SJ, Senior A, de Cabo R, et al. The impact of low-protein high-carbohydrate diets on aging and lifespan. Cell Mol Life Sci. 2016;73(6):1237–52.
Article
PubMed
CAS
Google Scholar
Senior AM, Solon-Biet SM, Cogger VC, Le Couteur DG, Nakagawa S, Raubenheimer D, et al. Dietary macronutrient content, age-specific mortality and lifespan. Proc Roy Soc B. 1902;2019(286):20190393.
Google Scholar
Landi F, Calvani R, Tosato M, Martone MA, Ortolani E, Savera G, et al. Protein intake and muscle health in old age: From biological plausibility to clinical evidence. Nutrients. 2016;8(5):295.
Article
PubMed Central
CAS
Google Scholar
Bauer J, Biolo G, Cederholm T, Cesari M, Cruz-Jentoft AJ, Morley JE, et al. Evidence-based recommendations for optimal dietary protein intake in older people: A position paper from the prot-age study group. J Am Med Dir Assoc. 2013;14(8):542–59.
Article
PubMed
Google Scholar
Senior AM, Nakagawa S, Raubenheimer D, Simpson SJ. Global associations between macronutrient supply and age-specific mortality. Proc Natl Acad Sci U S A. 2020;117(48):30824.
Article
CAS
PubMed
PubMed Central
Google Scholar
Cohen AA, Kennedy BK, Anglas U, Bronikowski AM, Deelen J, Dufour F, et al. Lack of consensus on an aging biology paradigm? A global survey reveals an agreement to disagree, and the need for an interdisciplinary framework. Mech Ageing Dev. 2020;191:111316.
Article
CAS
PubMed
PubMed Central
Google Scholar
López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell. 2013;153(6):1194–217.
Article
PubMed
PubMed Central
CAS
Google Scholar
Kennedy BK, Berger SL, Brunet A, Campisi J, Cuervo AM, Epel ES, et al. Geroscience: Linking aging to chronic disease. Cell. 2014;159(4):709–13.
Article
CAS
PubMed
PubMed Central
Google Scholar
Belsky DW, Moffitt TE, Cohen AA, Corcoran DL, Levine ME, Prinz JA, et al. Eleven telomere, epigenetic clock, and biomarker-composite quantifications of biological aging: Do they measure the same thing? Am J Epidemiol. 2017;187(6):1220–30.
PubMed Central
Google Scholar
Cohen AA, Martin LB, Wingfield JC, McWilliams SR, Dunne JA. Physiological regulatory networks: Ecological roles and evolutionary constraints. Trends Ecol Evol. 2012;27(8):428–35.
Article
PubMed
Google Scholar
Cohen AA, Milot E, Yong J, Seplaki CL, Fülöp T, Bandeen-Roche K, et al. A novel statistical approach shows evidence for multi-system physiological dysregulation during aging. Mech Ageing Dev. 2013;134(3):110–7.
Article
PubMed
PubMed Central
Google Scholar
Cohen AA, Li Q, Milot E, Leroux M, Faucher S, Morissette-Thomas V, et al. Statistical distance as a measure of physiological dysregulation is largely robust to variation in its biomarker composition. PLoS One. 2015;10(4):e0122541.
Article
PubMed
PubMed Central
CAS
Google Scholar
Cohen AA, Milot E, Li Q, Legault V, Fried LP, Ferrucci L. Cross-population validation of statistical distance as a measure of physiological dysregulation during aging. Exp Gerontol. 2014;57:203–10.
Article
PubMed
PubMed Central
Google Scholar
Milot E, Morissette-Thomas V, Li Q, Fried LP, Ferrucci L, Cohen AA. Trajectories of physiological dysregulation predicts mortality and health outcomes in a consistent manner across three populations. Mech Ageing Dev. 2014;141-142:56–63.
Article
PubMed
Google Scholar
Gaudreau P, Morais JA, Shatenstein B, Gray-Donald K, Khalil A, Dionne I, et al. Nutrition as a determinant of successful aging: Description of the quebec longitudinal study nuage and results from cross-sectional pilot studies. Rejuvenation Res. 2007;10(3):377–86.
Article
CAS
PubMed
Google Scholar
Levine ME. Modeling the rate of senescence: Can estimated biological age predict mortality more accurately than chronological age? J Gerontol Ser A Biol Sci Med Sci. 2013;68(6):667–74.
Article
Google Scholar
Levine ME, Lu AT, Quach A, Chen BH, Assimes TL, Bandinelli S, et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging. 2018;10(4):573–91.
Article
PubMed
PubMed Central
Google Scholar
Liu Z, Kuo P-L, Horvath S, Crimmins E, Ferrucci L, Levine M. A new aging measure captures morbidity and mortality risk across diverse subpopulations from nhanes iv: A cohort study. PLoS Med. 2019;15(12):e1002718.
Article
Google Scholar
Wood SN. Generalized additive models: An introduction with r: Chapman and Hall/CRC; 2017.
Book
Google Scholar
Wood SN. Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. J R Stat Soc Series B. Stat Methodol. 2011;73:3–36.
Article
Google Scholar
Seidelmann SB, Claggett B, Cheng S, Henglin M, Shah A, Steffen LM, et al. Dietary carbohydrate intake and mortality: A prospective cohort study and meta-analysis. Lancet Public Health. 2018;3(9):e419–28.
Article
PubMed
PubMed Central
Google Scholar
Lawson J, Willden C. Mixture experiments in r using mixexp. J Stat Soft. 2016;72:1–20 Code snippet 2.
Article
Google Scholar
Saner C, Tassoni D, Harcourt BE, Kao K-T, Alexander EJ, McCallum Z, et al. Evidence for protein leverage in children and adolescents with obesity. Obesity. 2020;28(4):822–9.
Article
CAS
PubMed
Google Scholar
Song M, Giovannucci E. Substitution analysis in nutritional epidemiology: Proceed with caution. Eur J Epidemiol. 2018;33(2):137–40.
Article
PubMed
Google Scholar
Akaike H. Information theory as an extension of the maximum likelihood principle. In: Second International Symposium on Information Theory. Budapest: Akademiai Kiado; 1973.
Google Scholar
Raubenheimer D. Toward a quantitative nutritional ecology: The right-angled mixture triangle. Ecol Monogr. 2011;81(3):407–27.
Article
Google Scholar
Nakagawa S, Cuthill IC. Effect size, confidence interval and statistical significance: A practical guide for biologists. Biol Revs. 2007;82(4):591–605.
Article
Google Scholar
Michels KB, Welch AA, Luben R, Bingham SA, Day NE. Measurement of fruit and vegetable consumption with diet questionnaires and implications for analyses and interpretation. Am J Epidemiol. 2005;161(10):987–94.
Article
PubMed
Google Scholar
Levine Morgan E, Suarez Jorge A, Brandhorst S, Balasubramanian P, Cheng C-W, Madia F, et al. Low protein intake is associated with a major reduction in igf-1, cancer, and overall mortality in the 65 and younger but not older population. Cell Metab. 2014;19(3):407–17.
Article
CAS
PubMed
PubMed Central
Google Scholar
Sandström B. Micronutrient interactions: Effects on absorption and bioavailability. Brit J Nutr. 2001;85(S2):S181–5.
Article
PubMed
Google Scholar
Hamilton IMJ, Gilmore WS, Benzie IFF, Mulholland CW, Strain JJ. Interactions between vitamins c and e in human subjects. Brit J Nutr. 2000;84(3):261–7.
Article
CAS
PubMed
Google Scholar
Tanaka K, Hashimoto T, Tokumaru S, Iguchi H, Kojo S. Interactions between vitamin c and vitamin e are observed in tissues of inherently scorbutic rats. J Nutr. 1997;127(10):2060–4.
Article
CAS
PubMed
Google Scholar
Traber MG: Vitamin e. In: Modern nutrition in health and disease. Ross AC, Caballero B, Cousins RJ, Tucker KL, Ziegler TR, 11th. Philadelphia: Lippincott Williams & Wilkins; 2012: 293-304.
Google Scholar
Nations WHOaFaAOotU. Vitamin and mineral requirments in human nutrition. 2nd ed; 2004.
Google Scholar
Miller ER, Pastor-Barriuso R, Dalal D, Riemersma RA, Appel LJ, Guallar E. Meta-analysis: High-dosage vitamin e supplementation may increase all-cause mortality. Ann Intern Med. 2005;142(1):37–46.
Article
CAS
PubMed
Google Scholar
Fardet A, Rock E. Perspective: Reductionist nutrition research has meaning only within the framework of holistic and ethical thinking. Adv Nutr. 2018;9(6):655–70.
Article
PubMed
PubMed Central
Google Scholar
Lönnerdal B. Interactions between micronutrients: Synergies and antagonisms. In: Pettifor JM, Zlotkin S, editors. Micronutrient deficiencies during the weaning period and the first years of life. Basel: Karger; 2004. p. 67–81.
Chapter
Google Scholar
Mercille G, Richard L, Gauvin L, Kestens Y, Shatenstein B, Daniel M, et al. Associations between residential food environment and dietary patterns in urban-dwelling older adults: Results from the voisinuage study. Public Health Nutr. 2012;15(11):2026–39.
Article
PubMed
Google Scholar
Hebert JR, Clemow L, Pbert L, Ockene IS, Ockene JK. Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Int J Epidemiol. 1995;24(2):389–98.
Article
CAS
PubMed
Google Scholar
Dahm CC. Correcting measurement error in dietary exposure assessments: No piece of cake. Am J Clin Nutr. 2020;112(1):11–2.
Article
PubMed
Google Scholar
Ferrari P, Slimani N, Ciampi A, Trichopoulou A, Naska A, Lauria C, et al. Evaluation of under- and overreporting of energy intake in the 24-hour diet recalls in the european prospective investigation into cancer and nutrition (epic). Public Health Nutr. 2002;5(6b):1329–45.
Article
CAS
PubMed
Google Scholar
Machovsky-Capuska GE, Senior AM, Simpson SJ, Raubenheimer D. The multidimensional nutritional niche. Trends Ecol Evol. 2016;31:355–65.
Article
PubMed
Google Scholar
Raubenheimer D, Simpson SJ. Nutrient balancing in grasshoppers: Behavioural and physiological correlates of dietary breadth. J Exp Biol. 2003;206(10):1669–81.
Article
CAS
PubMed
Google Scholar
Warbrick-Smith J, Raubenheimer D, Simpson SJ, Behmer ST. Three hundred and fifty generations of extreme food specialisation: Testing predictions of nutritional ecology. Entomol Exp Appl. 2009;132(1):65–75.
Article
Google Scholar
Luca F, Perry GH, Di Rienzo A. Evolutionary adaptations to dietary changes. Ann Rev Nutr. 2010;30(1):291–314.
Article
CAS
Google Scholar
Nijhout HF, Sadre-Marandi F, Best J, Reed MC. Systems biology of phenotypic robustness and plasticity. Integr Comp Biol. 2017;57(2):171–84.
Article
CAS
PubMed
Google Scholar
Tapsell LC, Neale EP, Satija A, Hu FB. Foods, nutrients, and dietary patterns: Interconnections and implications for dietary guidelines. Adv Nutr. 2016;7(3):445–54.
Article
CAS
PubMed
PubMed Central
Google Scholar
Mozaffarian D, Pischon T, Hankinson SE, Rifai N, Joshipura K, Willett WC, et al. Dietary intake of trans fatty acids and systemic inflammation in women. Am J Clin Nutr. 2004;79(4):606–12.
Article
CAS
PubMed
Google Scholar
Martinez-Cordero C, Kuzawa CW, Sloboda DM, Stewart J, Simpson SJ, Raubenheimer D. Testing the protein leverage hypothesis in a free-living human population. Appetite. 2012;59(2):312–5.
Article
CAS
PubMed
Google Scholar
Blumfield M, Hure A, MacDonald-Wicks L, Smith R, Simpson S, Raubenheimer D, et al. The association between the macronutrient content of maternal diet and the adequacy of micronutrients during pregnancy in the women and their children’s health (watch) study. Nutrients. 2012;4(12):1958–76.
Article
CAS
PubMed
PubMed Central
Google Scholar
Raubenheimer D, Machovsky-Capuska GE, Gosby AK, Simpson S. Nutritional ecology of obesity: From humans to companion animals. Brit J Nutr. 2015;113(S1):S26–39.
Article
CAS
PubMed
Google Scholar
Gosby AK, Lau NS, Tam CS, Iglesias MA, Morrison CD, Caterson ID, et al. Raised fgf-21 and triglycerides accompany increased energy intake driven by protein leverage in lean, healthy individuals: A randomised trial. PLoS One. 2016;11(8):e0161003.
Article
PubMed
PubMed Central
CAS
Google Scholar
Simpson SJ, Raubenheimer D, Cogger VC, Macia L, Solon-Biet SM, Le Couteur DG, et al. The nutritional geometry of liver disease including non-alcoholic fatty liver disease. J Hepatol. 2018;68(2):316–25.
Article
PubMed
Google Scholar
Saner C, Tassoni D, Harcourt BE, Kao KT, Alexander EJ, McCallum Z, et al. Evidence for protein leverage in children and adolescents with obesity. Obesity. 2020; In. Press.
Levasseur M. Sources et justifications des questions utilisées dans l’enquête santé québec. In: Cahier technique 87-03: Ministère de la Santé et des Services sociaux, Gouvernement du Québec; 1987.
Google Scholar
Fillenbaum GG, Smyer MA. The development, validity, and reliability of the oars multidimensional functional assessment questionnaire1. J Gerontol. 1981;36(4):428–34.
Article
CAS
PubMed
Google Scholar
Washburn RA, McAuley E, Katula J, Mihalko SL, Boileau RA. The physical activity scale for the elderly (pase): Evidence for validity. J Clin Epidemiol. 1999;52(7):643–51.
Article
CAS
PubMed
Google Scholar
Presse N, Payette H, Shatenstein B, Greenwood CE, Kergoat MJ, Ferland G. A minimum of six days of diet recording is needed to assess usual vitamin k intake among older adults. J Nutr. 2010;141(2):341–6.
Article
PubMed
CAS
Google Scholar
Allès B, Samieri C, Jutand M-A, Carmichael P-H, Shatenstein B, Gaudreau P, et al. Nutrient patterns, cognitive function, and decline in older persons: Results from the three-city and nuage studies. Nutrients. 2019;11(8):1808.
Article
PubMed Central
CAS
Google Scholar
Shatenstein B, Gauvin L, Keller H, Richard L, Gaudreau P, Giroux F, et al. Individual and collective factors predicting change in diet quality over 3 years in a subset of older men and women from the nuage cohort. Eur J Nutr. 2016;55(4):1671–81.
Article
CAS
PubMed
Google Scholar
Moshfegh M, Borrud L, Perloff B, LaComb R. Improved method for the 24-hour dietary recall for use in national surveys. FASEB J. 1999;13(4):A603.
Google Scholar
Johnson-Down L, Ritter H, Starkey LJ, Gray-Donald K. Primary food sources of nutrients in the diet of canadian adults. Can J Diet Pract Res. 2006;67(1):7–13.
Article
PubMed
Google Scholar
Ghachem A, Fried LP, Legault V, Bandeen-Roche K, Presse N, Gaudreau P, et al. Evidence from two cohorts for the frailty syndrome as an emergent state of parallel dysregulation in multiple physiological systems. Biogerontology. 2020.
Klemera P, Doubal S. A new approach to the concept and computation of biological age. Mech Ageing Dev. 2006;127(3):240–8.
Article
PubMed
Google Scholar
R-Development-Core-Team: R: A language and environemnt for statistical computing. In., 4.0.3 edn. Available at http://www.r-project.org. 2020.
Hastie TJ, Tibshirani RJ. Generalized additive models. London: Chapman and Hall/CRC; 1990.
Google Scholar
Benjamani Y, Hochberg Y. Controlling the false discovery rate: A practical and powerful approach to multiple testing. J Royl Stat Soc Ser B. 1995;57(1):289–300.
Google Scholar